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Microsoft Excel 2019 : data analysis and business modeling / Wayne L. Winston

By: Winston, Wayne LMaterial type: TextTextPublisher: New Delhi ; Pearson Education India, 2019Edition: 6th edDescription: xxvii, 850 pages : illustrations ; 23 cmISBN: 9789389347180Subject(s): Business -- Computer programs | Decision making -- Computer programs | Microsoft excel (Computer file)DDC classification: 005.54
Contents:
Basic worksheet modeling Range names Lookup functions The INDEX function The MATCH function Text functions and Flash Fill Dates and date functions NPV and XNPV functions IRR, XIRR, and MIRR functions More Excel financial functions Circular references IF, IFERROR, IFS, CHOOSE, and SWITCH functions Time and time functions The Paste Special command Three-dimensional formulas and hyperlinks The auding tool and the Inquire add-in Sensitivity analysis with data tables The Goal Seek command Using the Scenario Manager for sensitivity analysis The COUNTIF, COUNTIFS, COUNT, COUNTA, and COUNTBLANK functions The SUMIF, AVERAGEIF, SUMIFS, AVERAGEIFS, MAXIFS, and MINIFS functions The OFFSET function The INDIRECT function Conditional formatting Sorting in Excel Excel Tables and table slicers Spin buttons, scrollbars, option buttons, check boxes, combo boxes, and group list boxes The analytics revolution An introduction to optimization with Excel Solver Using Solver to determine the optimal product mix Using Solver to schedule your workforce Using Solver to solve transportation or distribution problems Using Solver for capital budgeting Using Solver for financial planning Using Solver to rate sports teams Warehouse location and the GRG Multistart and Evolutionary Solver engines Penalties and the Evolutionary Solver The traveling salesperson problem Importing data from a text file or document Get & Transform Geography and Stock data types Validating data Summarizing data by using histograms and Pareto charts Summarizing data by using descriptive statistics Using pivot tables and slicers to describe data The Data Model Power Pivot Filled and 3D Power Maps Sparklines Summarizing data with database statistical functions Filtering data and removing duplicates Consolidating data Creating subtotals Charting tricks Estimating straight-line relationships Modeling exponential growth The power curve using correlations to summarize relationships Introduction to multiple regression Incorprating qualitative factors into multiple regression Modeling nonlinearities and interactions Analysis of variance: One-way ANOVA Randomized blocks and two-way ANOVA Using moving averages to understand time series Winters method and the Forecast Sheet Ratio-to-moving-average forecast method Forecasting in the presence of special events An introduction to probability An introduction to random variables The binomial, hypergeometric, and negative binomial random variables The Poisson and exponential random variable The normal random variable and Z-scores Weibull and beta distributions: Modeling machine life and duration of a project Making probability statements from forecasts Using the lognormal random variaable to model stock prices Importing historical stock data into Excel Introduction to Monte Carlo simulation Calculating an optimal bid Simulating stock prices and asset-allocation modeling Fun and games: Simulating gambling and sporting event probabilities Using resampling to analyze data Pricing stock options Determining customer value The economic order quantity inventory model Inventory modeling with uncertain demand Queuing theory: The mathematics of waiting in line Estimating a demand curve Pricing products by using tie-ins Pricing products by using subjectively determinded demand Nonlinear pricing Array formulas and functions Recording macros Advanced sensitivity analysis
List(s) this item appears in: New Arrivals- September 1st to 30th 2022
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"Microsoft Press"--Back cover
Includes index

Basic worksheet modeling
Range names
Lookup functions
The INDEX function
The MATCH function
Text functions and Flash Fill
Dates and date functions
NPV and XNPV functions
IRR, XIRR, and MIRR functions
More Excel financial functions
Circular references
IF, IFERROR, IFS, CHOOSE, and SWITCH functions
Time and time functions
The Paste Special command
Three-dimensional formulas and hyperlinks
The auding tool and the Inquire add-in
Sensitivity analysis with data tables
The Goal Seek command
Using the Scenario Manager for sensitivity analysis
The COUNTIF, COUNTIFS, COUNT, COUNTA, and COUNTBLANK functions
The SUMIF, AVERAGEIF, SUMIFS, AVERAGEIFS, MAXIFS, and MINIFS functions
The OFFSET function
The INDIRECT function
Conditional formatting
Sorting in Excel
Excel Tables and table slicers
Spin buttons, scrollbars, option buttons, check boxes, combo boxes, and group list boxes
The analytics revolution
An introduction to optimization with Excel Solver
Using Solver to determine the optimal product mix
Using Solver to schedule your workforce
Using Solver to solve transportation or distribution problems
Using Solver for capital budgeting
Using Solver for financial planning
Using Solver to rate sports teams
Warehouse location and the GRG Multistart and Evolutionary Solver engines
Penalties and the Evolutionary Solver
The traveling salesperson problem
Importing data from a text file or document
Get & Transform
Geography and Stock data types
Validating data
Summarizing data by using histograms and Pareto charts
Summarizing data by using descriptive statistics
Using pivot tables and slicers to describe data
The Data Model
Power Pivot
Filled and 3D Power Maps
Sparklines
Summarizing data with database statistical functions
Filtering data and removing duplicates
Consolidating data
Creating subtotals
Charting tricks
Estimating straight-line relationships
Modeling exponential growth
The power curve using correlations to summarize relationships
Introduction to multiple regression
Incorprating qualitative factors into multiple regression
Modeling nonlinearities and interactions
Analysis of variance: One-way ANOVA
Randomized blocks and two-way ANOVA
Using moving averages to understand time series
Winters method and the Forecast Sheet
Ratio-to-moving-average forecast method
Forecasting in the presence of special events
An introduction to probability
An introduction to random variables
The binomial, hypergeometric, and negative binomial random variables
The Poisson and exponential random variable
The normal random variable and Z-scores
Weibull and beta distributions: Modeling machine life and duration of a project
Making probability statements from forecasts
Using the lognormal random variaable to model stock prices
Importing historical stock data into Excel
Introduction to Monte Carlo simulation
Calculating an optimal bid
Simulating stock prices and asset-allocation modeling
Fun and games: Simulating gambling and sporting event probabilities
Using resampling to analyze data
Pricing stock options
Determining customer value
The economic order quantity inventory model
Inventory modeling with uncertain demand
Queuing theory: The mathematics of waiting in line
Estimating a demand curve
Pricing products by using tie-ins
Pricing products by using subjectively determinded demand
Nonlinear pricing
Array formulas and functions
Recording macros
Advanced sensitivity analysis

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